公开(公告)号：US09652712B2

公开(公告)日：2017-05-16

申请号：US14810384

申请日：2015-07-27

Applicant: Google Inc.

Inventor： Gregory Sean Corrado ,  Jeffrey Adgate Dean

IPC: G06N3/04 ,  G06N3/08 ,  G06N3/10

CPC classification number: G06N3/08 ,  G06F19/00 ,  G06N3/02 ,  G06N3/04 ,  G06N3/049 ,  G06N3/10 ,  G16H50/20 ,  G16H50/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using recurrent neural networks to analyze health events. One of the methods includes: processing each of a plurality of initial temporal sequences of health events to generate, for each of the initial temporal sequences, a respective network internal state of a recurrent neural network for each time step in the initial temporal sequence; storing, for each of the initial temporal sequences, one or more of the network internal states for the time steps in the temporal sequence in a repository; obtaining a first temporal sequence; processing the first temporal sequence using the recurrent neural network to generate a sequence internal state for the first temporal sequence; and selecting one or more initial temporal sequences that are likely to include health events that are predictive of future health events in the first temporal sequence.

公开(公告)号：US20170124454A1

公开(公告)日：2017-05-04

申请号：US15338225

申请日：2016-10-28

Applicant: Google Inc.

Inventor： Vijay Vasudevan ,  Jeffrey Adgate Dean ,  Sanjay Ghemawat

IPC: G06N3/08 ,  G06F17/16 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for modifying a computational graph to include send and receive nodes. Communication between unique devices performing operations of different subgraphs of the computational graph can be handled efficiently by inserting send and receive nodes into each subgraph. When executed, the operations that these send and receive nodes represent may enable pairs of unique devices to conduct communication with each other in a self-sufficient manner. This shifts the burden of coordinating communication away from the backend, which affords the system that processes this computational graph representation the opportunity to perform one or more other processes while devices are executing subgraphs.

公开(公告)号：US20170011056A1

公开(公告)日：2017-01-12

申请号：US15269788

申请日：2016-09-19

Applicant: GOOGLE INC.

Inventor： Yasushi Saito ,  Sanjay Ghemawat ,  Jeffrey Adgate Dean

IPC: G06F17/30

CPC classification number: G06F17/30117 ,  G06F17/3007 ,  G06F17/30156 ,  G06F17/30194 ,  G06F17/30303

Abstract: A method for deleting obsolete files from a file system is provided. The method includes receiving a request to delete a reference to a first target file of a plurality of target files stored in a file system, the first target file having a first target file name. A first reference file whose file name includes the first target file name is identified. The first reference file is deleted from the file system. The method further includes determining whether the file system includes at least one reference file, distinct from the first reference file, whose file name includes the first target file name. In accordance with a determination that the file system does not include the at least one reference file, the first target file is deleted from the file system.

Abstract translation: 提供了从文件系统中删除过时文件的方法。 所述方法包括接收删除对存储在文件系统中的多个目标文件的第一目标文件的引用的请求，所述第一目标文件具有第一目标文件名。 识别文件名包括第一个目标文件名的第一个引用文件。 第一个参考文件从文件系统中删除。 该方法还包括确定文件系统是否包括与第一参考文件不同的至少一个参考文件，其文件名包括第一目标文件名。 根据文件系统不包括至少一个参考文件的确定，从文件系统中删除第一目标文件。

公开(公告)号：US09460711B1

公开(公告)日：2016-10-04

申请号：US13862541

申请日：2013-04-15

Applicant: Google Inc.

Inventor： Vincent Olivier Vanhoucke ,  Jeffrey Adgate Dean ,  Georg Heigold ,  Marc'aurelio Ranzato ,  Matthieu Devin ,  Patrick An Phu Nguyen ,  Andrew William Senior

IPC: G10L15/00 ,  G10L15/16 ,  G06F17/28 ,  G10L15/26

CPC classification number: G10L15/16 ,  G10L15/063 ,  G10L15/144

Abstract: Methods and systems for processing multilingual DNN acoustic models are described. An example method may include receiving training data that includes a respective training data set for each of two or more or languages. A multilingual deep neural network (DNN) acoustic model may be processed based on the training data. The multilingual DNN acoustic model may include a feedforward neural network having multiple layers of one or more nodes. Each node of a given layer may connect with a respective weight to each node of a subsequent layer, and the multiple layers of one or more nodes may include one or more shared hidden layers of nodes and a language-specific output layer of nodes corresponding to each of the two or more languages. Additionally, weights associated with the multiple layers of one or more nodes of the processed multilingual DNN acoustic model may be stored in a database.

Abstract translation: 描述了处理多语言DNN声学模型的方法和系统。 示例性方法可以包括接收包括用于两种或多种或多种语言中的每一种的相应训练数据集的训练数据。 可以基于训练数据处理多语言深层神经网络（DNN）声学模型。 多语言DNN声学模型可以包括具有一个或多个节点的多个层的前馈神经网络。 给定层的每个节点可以将相应权重连接到后续层的每个节点，并且一个或多个节点的多个层可以包括节点的一个或多个共享隐藏层和对应于节点的语言特定输出层 每种两种或多种语言。 另外，与经处理的多语言DNN声学模型的一个或多个节点的多个层相关联的权重可以存储在数据库中。

公开(公告)号：US08856141B1

公开(公告)日：2014-10-07

申请号：US13658570

申请日：2012-10-23

Applicant: Google Inc.

Inventor： Jeffrey Adgate Dean ,  Sanjay Ghemawat ,  Sachin Jain ,  Boris Mazniker

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06Q10/101 ,  G06Q10/107 ,  G06Q50/01 ,  H04L12/1813

Abstract: A system includes: an engaging post identifier for identifying and retrieving engaging posts; an extended network post identifier for identifying extended posts from an extended network; a combining module for creating a combined list of added posts from the engaging post and the extended posts, the combining module generating one or more ranked posts by ranking the list of added posts by relevance to a user; and a user interface module for providing the one or more ranked posts. The disclosure also includes a method for finding and providing engaging posts that includes determining engaging posts; determining extended posts from an extended social network using a social graph of the user; adding the engaging posts and the extended posts to create a combined list of added posts; ranking the added posts by relevance to a user; and providing one or more of the ranked posts.

Abstract translation: 系统包括：用于识别和检索接合柱的接合柱标识符; 用于从扩展网络识别扩展帖子的扩展网络帖子标识符; 组合模块，用于从所述参与帖子和所述扩展帖子创建添加的帖子的组合列表，所述组合模块通过与添加的用户的相关性对所添加的帖子的列表进行排名来生成一个或多个排名的帖子; 以及用于提供一个或多个排名的帖子的用户界面模块。 本公开还包括一种用于查找和提供接合柱的方法，其包括确定接合柱; 使用用户的社交图来确定来自扩展社交网络的扩展帖子; 增加招聘岗位和扩展职位，以创建新增岗位的综合列表; 通过与用户的相关性对附加的帖子进行排名; 并提供一个或多个排名的职位。